Artificial Neural Network Model for Predicting Fraudulent Attacks
P. Archana, P. Divyabharathi, Y Camry Joshya, Sudha · Journal of Physics Conference Series · 2021
Abstract Now a days Artificial Intelligence is an emerging technology. Neural network concepts used in many applications at present situation. The usage of internet increases day by day as well as the lack of security increases day by day. Mainly phishing scams emerges highly in case of network security. In this paper Neural network concepts, how to train and test the data using Artificial neural network has been discussed which gives an brief idea about usage of Neural net concepts in field of Network security. The properties such as feed forward back propagation network form, gradient descent momentum training purpose, sigmoid transfer function, supervised learning model used to train the model for predicting fraudulent attacks.